Keyword: Machine learning
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15 records found. Displaying records 1 to 10.

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DataSummary_Extrusion_Manuscript_20210728.xlsx
Process parameters and magnetic properties (coercivity, remanence, squareness, maximum energy product) of data-driven fabrication of Nd-Fe-B anisotropic magnets by direct hot extrusion.
Dataset
Creator
ORCID SAMURAI ; ORCID SAMURAI ; ORCID SAMURAI ; ORCID SAMURAI ; ORCID SAMURAI
Keyword
Maximum energy product, Coercivity, Squareness, Machine learning, Remanence, Process, Bayesian Optimization, Hot extrusion, Active learning, Nd-Fe-B magnet
Date published
2021-10-11
Updated at
2022-10-03 02:01:08 +0900
lin-et-al-2025-determination-of-stable-proton-configurations-by-black-box-optimization-using-an-ising-machine.pdf
Determination of Stable Proton Configurations by Black-Box Optimization Using an Ising Machine
Journal article
Creator
Jianbo Lin (author) (Search by this author)
;
Tomofumi Tada (author) (Search by this author)
ORCID ;
Ai Koizumi (author) (Search by this author)
;
Masato Sumita (author) (Search by this author)
ORCID ; ORCID SAMURAI ; ORCID SAMURAI
Keyword
Machine learning, Ising machine, Proton configuration
Date published
2025-02-06
Updated at
2025-05-23 08:30:18 +0900
abstract_YOSHIKAWA.pdf
Machine Learning to Predict Multicellular Dynamics Driven by Concentrated Polymer Brush-Modified Cellulose Nanofibers
Conference presentation
Creator
Chiaki Yoshikawa (author) (Search by this author)
Research Center for Macromolecules and Biomaterials/Macromolecules Field/Polymer Surfaces and Devices Team, National Institute for Materials Science
ORCID SAMURAI ;
Hiroshi Mamitsuka (author) (Search by this author)
Keyword
Machine learning, Multicellular dynamics, Concentrated polymer brush, Cellulose nanofiber
Date published
Updated at
2025-11-06 12:30:42 +0900
Machine learning prediction of the mechanical properties of injection-molded polypropylene through X-ray diffraction analysis.pdf
Machine learning prediction of the mechanical properties of injection-molded polypropylene through X-ray diffraction analysis
Journal article
Creator
Ryo Tamura (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI ;
Kenji Nagata (author) (Search by this author)
;
Keitaro Sodeyama (author) (Search by this author)
;
Kensaku Nakamura (author) (Search by this author)
;
Toshiki Tokuhira (author) (Search by this author)
;
Satoshi Shibata (author) (Search by this author)
;
Kazuki Hammura (author) (Search by this author)
;
Hiroki Sugisawa (author) (Search by this author)
;
Masaya Kawamura (author) (Search by this author)
;
Teruki Tsurimoto (author) (Search by this author)
;
Masanobu Naito (author) (Search by this author)
;
Masahiko Demura (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI ;
Takashi Nakanishi (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI
Keyword
Polypropylene, X-ray diffraction, Bayesian spectral deconvolution, Ising machine, Machine learning
Date published
2024-12-31
Updated at
2024-08-30 16:31:01 +0900
abstract.docx
Machine Learning Assisted Optimization of SmFe12-based Alloys
Conference poster
Creator
BOLYACHKIN Anton (author) (Search by this author)
International Center for Young Scientists, National Institute for Materials Science
ORCID SAMURAI ;
SUBAGJA Toni (author) (Search by this author)
Research Center for Magnetic and Spintronic Materials/Green Magnetic Materials Group, National Institute for Materials Science
ORCID SAMURAI ;
LI Jiangnan (author) (Search by this author)
Research Center for Magnetic and Spintronic Materials/Magnetic Materials Analysis Group, National Institute for Materials Science
;
ZHANG Jiasheng (author) (Search by this author)
Research Center for Magnetic and Spintronic Materials/Green Magnetic Materials Group, National Institute for Materials Science
;
ASHOK KRISHNASWAMY Srinithi (author) (Search by this author)
Research Center for Magnetic and Spintronic Materials/Green Magnetic Materials Group, National Institute for Materials Science
ORCID ;
ABE Taichi (author) (Search by this author)
Research Center for Structural Materials/Materials Evaluation Field/Structural Thermodynamics Group, National Institute for Materials Science
ORCID SAMURAI ;
TANG Xin (author) (Search by this author)
Research Center for Magnetic and Spintronic Materials/Green Magnetic Materials Group, National Institute for Materials Science
ORCID SAMURAI ;
TOZMAN KARANIKOLAS Pelin (author) (Search by this author)
Global Networking Division/International Center for Young Scientists, National Institute for Materials Science
;
KULESH Nikita (author) (Search by this author)
Research Center for Magnetic and Spintronic Materials/Green Magnetic Materials Group, National Institute for Materials Science
ORCID SAMURAI ;
SEPEHRI AMIN Hossein (author) (Search by this author)
Research Center for Magnetic and Spintronic Materials/Green Magnetic Materials Group, National Institute for Materials Science
ORCID SAMURAI ;
OHKUBO Tadakatsu (author) (Search by this author)
Research Center for Magnetic and Spintronic Materials, National Institute for Materials Science
ORCID SAMURAI ;
HONO Kazuhiro (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI
Keyword
Machine learning, Hard magnetic materials, SmFe12-based alloys
Date published
Updated at
2024-10-17 08:30:37 +0900
d3dd00215b.pdf
Automated odor-blending with one-pot Bayesian optimization
Journal article
Creator
Yota Fukui (author) (Search by this author)
;
Kosuke Minami (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI ;
Kota Shiba (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI ;
Genki Yoshikawa (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI ;
Koji Tsuda (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI ;
Ryo Tamura (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI
Keyword
Machine learning, MSS, Bayesian optimization, Olfactory sensor
Date published
2024-04-16
Updated at
2024-06-10 12:30:19 +0900
Autonomous search for materials with high Curie temperature using ab initio calculations and machine learning (1).pdf
Autonomous search for materials with high Curie temperature using ab initio calculations and machine learning
Journal article
Creator
ORCID SAMURAI
Keyword
Machine learning, Autonomous, Curie temperature, ab initio
Date published
2024-12-31
Updated at
2024-10-04 08:30:28 +0900
Manuscript.pdf
Data-driven optimization of FePt heat-assisted magnetic recording media accelerated by deep learning TEM image segmentation
Journal article
Creator
N. Kulesh (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI ;
A. Bolyachkin (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI ;
I. Suzuki (author) (Search by this author)
National Institute for Materials Science
ORCID ;
Y.K. Takahashi (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI ;
H. Sepehri-Amin (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI ;
K. Hono (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI
Keyword
Heat-assisted magnetic recording (HAMR), FePt, Deep learning, Machine learning, Image segmentation
Date published
2023-05-27
Updated at
2025-05-27 08:30:20 +0900
1-s2.0-S0169743925000085-main.pdf
MADGUI: Multi-Application Design Graphical User Interface for active learning assisted by Bayesian optimization
Journal article
Creator
ORCID SAMURAI ; ORCID SAMURAI
Keyword
Graphical user interface, Statistical analysis, Machine learning, Bayesian optimization, Process optimization, User-friendly
Date published
2025-01-21
Updated at
2025-01-27 12:30:30 +0900
Fujii-DigitalDiscovery2025.pdf
A straightforward gradient-based approach for designing superconductors with high critical temperature: exploiting domain knowledge via adaptive constraints
Journal article
Creator
Akihiro Fujii (author) (Search by this author)
;
Anh Khoa Augustin Lu (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI ;
Koji Shimizu (author) (Search by this author)
;
Satoshi Watanabe (author) (Search by this author)
National Institute for Materials Science
ORCID
Keyword
Gradient-based optimization, Superconductor, Domain knowledge integration, Materials discovery, Critical temperature, Machine learning
Date published
2025-10-29
Updated at
2026-05-18 14:53:14 +0900
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